code: def __init__(
      self,
      dataset_src: str,
      dataset_tgt: str,
      tokens_in_batch: int = 1024,
      clean: bool = False,
      max_seq_length: int = 512,
      min_seq_length: int = 1,
      max_seq_length_diff: int = 512,
      max_seq_length_ratio: int = 512,
      cache_ids: bool = False,
      cache_data_per_node: bool = False,
      use_cache: bool = False,
      reverse_lang_direction: bool = False,
      prepend_id: int = None,
      add_bos_eos_to_encoder: bool = True,
  ):
      self.dataset_src = dataset_src
      self.dataset_tgt = dataset_tgt
      self.tokens_in_batch = tokens_in_batch
      self.cache_ids = cache_ids
      self.use_cache = use_cache
      self.clean = clean
      self.cache_data_per_node = cache_data_per_node
      self.max_seq_length = max_seq_length
      self.min_seq_length = min_seq_length
      self.max_seq_length_diff = max_seq_length_diff
      self.max_seq_length_ratio = max_seq_length_ratio
      self.reverse_lang_direction = reverse_lang_direction
      self.prepend_id = prepend_id
      self.add_bos_eos_to_encoder = add_bos_eos_to_encoder
  
      # deprecation warnings for cache_ids, use_cache, and cache_data_per_node
      if (
          self.cache_ids is True
          or self.use_cache is True
          or self.cache_data_per_node is True
      ):
          logging.warning(
              "Deprecation warning. self.cache_ids, self.use_cache, and self.cache_data_per_node will be removed. Data caching to be done with tarred datasets moving forward."
          )
  
imports: import io
  import json
  import pickle
  from collections import OrderedDict
  from dataclasses import dataclass
  from typing import Any, List, Optional
  import braceexpand
  import numpy
  import webdataset
  from torch.utils.data import IterableDataset
  from nemo.collections.nlp.data.data_utils.data_preprocessing import dataset_to_ids
  from nemo.core import Dataset
  from nemo.utils import logging
label_desc: Use image node_id 1 to create a new TranslationDataset object from inherited base classes: Dataset with example: obj = TranslationDataset(dataset_src, dataset_tgt, tokens_in_batch, clean, max_seq_length, min_seq_length, max_seq_length_diff, max_seq_length_ratio, cache_ids, cache_data_per_node, use_cache, reverse_lang_direction, prepend_id, add_bos_eos_to_encoder)